Talks will be presented virtually or in-person as indicated in the schedule below.

• Zamurat Adegboye
  Institute of Mathematical and Physical Sciences
  Mar 22-28, 2020
• Faten Alamri
  virginia commonwealth university and Princess Nourah Bint Abdul Rahman University
  Apr 19-25, 2020
• Terrence Alsup
  Courant Institute of Mathematical Sciences
  Feb 16-22, 2020; Apr 19-25, 2020
• Manuchehr Aminian
  Colorado State University
  Feb 16-22, 2020
• Thanos Antoulas
  Rice University
  Feb 16-22, 2020
• Andrea Arnold
  Worcester Polytechnic Institute
  Apr 20-24, 2020
• Mazlum Ferhat Arslan
  Middle East Technical University
  Jan 26-May 2, 2020
• Saed Asaly
  Ariel University
  Apr 19-25, 2020
• Yonatan Ashenafi
  Rensselaer Polytechnic Institute
  Apr 19-25, 2020
• Selin Aslan
  Argonne National Laboratory
  Mar 22-28, 2020
• Brian Avants
  Penn Image Computing and Science Laboratory at UPenn
  Jan 27-May 1, 2020
• Karim Azumah
  Pan African University for Basic Sciences, Technology and Innovation
  Apr 19-25, 2020
• Ashwin Babu
  Dassault Systemes Simulia Corp
  Feb 17-22, 2020
• Zhe Bai
  Lawrence Berkeley National Lab
  Apr 19-25, 2020
• Christopher Beattie
  Virginia Tech
  Jan 26-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Amina Benaceur
  MIT
  Feb 16-22, 2020; Mar 22-28, 2020
• Peter Benner
  Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
  Jan 28-Mar 13, 2020; Mar 23-27, 2020
• George Biros
  ICES
  Apr 23-24, 2020
• Raed Blel
  CERMICS
  Feb 16-22, 2020
• Liliana Borcea
  University of Michigan
  Apr 19-25, 2020
• Jeff Borggaard
  Virginia Tech
  Feb 16-22, 2020; Mar 22-28, 2020
• Sergiy Borodachov
  Towson University
  Mar 5-15, 2020; Mar 23-27, 2020
• Tamara Broderick
  Massachusetts Institute of Technology
  Apr 19-25, 2020
• Tan Bui-Thanh
  University of Texas at Austin
  Feb 16-22, 2020
• Olena Burkovska
  Oak Ridge National Laboratory
  Mar 23-27, 2020
• Jared Callaham
  University of Washington
  Mar 22-28, 2020
• Kevin Carlberg
  University of Washington
  Feb 16-22, 2020; Mar 22-28, 2020
• Peter Challenor
  University of Exeter
  Apr 19-25, 2020
• Jesse Chan
  Rice University
  Feb 16-22, 2020; Mar 22-28, 2020
• Zheng “Leslie” Chen
  University of Massachusetts Dartmouth
  Jan 27-May 1, 2020
• Yanlai Chen
  University of Massachusetts, Dartmouth
  Jan 27-May 1, 2020
• Yingda Cheng
  Michigan State University
  Jan 27-Mar 8, 2020; Mar 23-27, 2020
• Haiyan Cheng
  Willamette University
  Apr 20-24, 2020
• Karim Cherifi
  MPI Magdeburg, Germany
  Feb 16-22, 2020
• Francisco Chinesta
  ENSAM
  Mar 22-28, 2020
• Merlise Clyde
  Duke University
  Apr 19-25, 2020
• Albert Cohen
  Sorbonne Université
  Feb 16-22, 2020
• Paul Constantine
  University of Colorado Boulder
  Feb 3-Mar 19, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Keisha Cook
  Tulane University
  Apr 19-25, 2020
• Wolfgang Dahmen
  University of South Carolina
  Feb 16-22, 2020
• Gregory Darnell
  ICERM
  Sep 1, 2019-Jun 1, 2020
• Julio de Lima Nicolini
  Ohio State University
  Feb 16-22, 2020; Apr 20-25, 2020
• Eric de Sturler
  Virginia Tech
  Feb 16-22, 2020; Mar 23-27, 2020
• David Del Rey Fernádez
  National Institute of Aerospace contracted to NASA
  Feb 16-22, 2020
• Anton Dereventsov
  Oak Ridge National Laboratory
  Apr 19-25, 2020
• Mingchang Ding
  University of Delaware
  Feb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
• Adi Ditkowski
  Tel Aviv University
  Feb 16-22, 2020
• Alireza Doostan
  University of Colorado Boulder
  Mar 23-27, 2020; Apr 20-24, 2020
• Kathryn Drake
  Boise State University
  Apr 19-25, 2020
• Vladimir Druskin
  Worcester Polytechnic Institute
  Jan 27-Mar 13, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Karthik Duraisamy
  University of Michigan
  Mar 22-28, 2020
• Virginie Ehrlacher
  CERMICS – ENPC
  Feb 16-22, 2020
• Fariba Fahroo
  AFOSR
  Feb 18-21, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Ionut Farcas
  The University of Texas at Austin
  Feb 16-22, 2020
• Charbel Farhat
  Stanford University
  Mar 22-28, 2020
• Heike Faßbender
  Technische Universität Braunschweig
  Feb 16-22, 2020
• Lihong Feng
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 18-Mar 13, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Jinchao Feng
  Johns Hopkins University
  Mar 22-28, 2020
• Guosheng Fu
  University of Notre Dame
  Feb 16-22, 2020; Mar 22-28, 2020
• Guosheng Fu
  Brown University
  Apr 20-24, 2020
• Khaled Furati
  King Fahd University of Petroleum and Minerals
  Apr 20-24, 2020
• Roger Ghanem
  University of Southern California
  Mar 22-28, 2020
• Nathan Gibson
  Oregon State University
  Feb 16-22, 2020; Apr 20-24, 2020
• Anna Gilbert
  University of Michigan
  Apr 19-25, 2020
• Silke Glas
  Cornell University
  Feb 16-22, 2020
• Ion Victor Gosea
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 16-22, 2020; Mar 22-28, 2020
• Pawan Goyal
  MPI Magdeburg
  Feb 16-22, 2020
• Carmen Gräßle
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 16-22, 2020
• Rachel Grotheer
  Goucher College
  Feb 16-22, 2020; Mar 22-28, 2020
• Sara Grundel
  Max Planck Insitute
  Mar 22-28, 2020
• Serkan Gugercin
  Virginia Tech
  Jan 23-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Diane Guignard
  Texas A&M University
  Feb 16-22, 2020
• Wei Guo
  Texas Tech University
  Feb 16-22, 2020; Mar 22-28, 2020
• Bernard Haasdonk
  University of Stuttgart
  Mar 22-28, 2020
• Tom Hagstrom
  Southern Methodist University
  Feb 16-22, 2020
• Aidan Hamilton
  University of Delaware
  Mar 23-28, 2020
• Dirk Hartmann
  SIEMENS
  Feb 16-22, 2020
• Matthias Heinkenschloss
  Rice University
  Feb 16-22, 2020
• Christian Himpe
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 2-Mar 13, 2020; Apr 20-24, 2020
• Jeffrey Hokanson
  University of Colorado Boulder
  Jan 28-May 2, 2020
• Jingwei Hu
  Purdue University
  Feb 16-22, 2020
• Xiaozhe Hu
  Tufts University
  Jan 26-Mar 28, 2020
• Juntao Huang
  Michigan State Univerisity
  Feb 16-22, 2020
• Traian Iliescu
  Virginia Tech
  Mar 22-28, 2020
• Muhammad Izzatullah
  King Abdullah University of Science and Technology
  Feb 3-May 1, 2020
• Ameya Jagtap
  Division of Applied Mathematics
  Feb 16-22, 2020
• Lijie Ji
  UMass Dartmouth/Shanghai Jiao Tong University
  Jan 27-May 1, 2020
• Jiahua Jiang
  Virginia Tech
  Jan 26-May 2, 2020
• Sebastian Kaltenbach
  Technical University of Munich - Continuum Mechanics Group
  Apr 19-25, 2020
• Dimitris Kamilis
  University of Edinburgh
  Feb 16-22, 2020
• Isabelle Kemajou-Brown
  Morgan State University
  Apr 20-24, 2020
• Abdul Khaliq
  Middle Tennessee State University
  Apr 20-24, 2020
• Parisa Khodabakhshi
  UT Austin
  Feb 16-22, 2020
• Misha Kilmer
  Tufts University
  Jan 27-May 1, 2020
• BONGSIK KIM
  American University of Ras Al Khaimah
  Apr 19-25, 2020
• Gerhardus Kirsten
  University of Bologna
  Feb 24-Mar 27, 2020
• Liang Kong
  University of Illinois at Springfield
  Apr 19-25, 2020
• Peter Kramer
  Rensselaer Polytechnic Institute
  Jan 26-Apr 17, 2020; Apr 20-24, 2020
• Boris Krämer
  University of California San Diego
  Feb 16-22, 2020
• Christian Kümmerle
  Johns Hopkins University
  Mar 22-28, 2020; Apr 20-24, 2020
• J. Nathan Kutz
  University of Washington
  Apr 19-25, 2020
• Pierre Ladeveze
  École Normale Supérieure Paris-Saclay
  Mar 22-28, 2020
• Jeonghun Lee
  Baylor University
  Feb 16-22, 2020
• Sanda LEFTERIU
  IMT Lille Douai
  Jan 26-Mar 18, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Fengyan Li
  Rensselaer Polytechinic Institute
  Jan 26-Apr 17, 2020; Apr 20-24, 2020
• Yuwen Li
  Pennsylvania State University
  Feb 16-22, 2020
• Jichun Li
  University of Nevada Las Vegas
  Apr 19-25, 2020
• xiantao Li
  Pennsylvania State University
  Feb 16-22, 2020
• Xingjie Li
  University of North Carolina at Charlotte
  Feb 16-22, 2020; Apr 19-25, 2020
• Guang Lin
  Purdue University
  Apr 19-25, 2020
• Yong Liu
  USTC
  Jan 27-May 1, 2020
• ZEXIN LIU
  UNIVERSITY OF UTAH
  Mar 23-27, 2020
• Fei Lu
  Johns Hopkins University
  Mar 23-27, 2020
• Hannah Lu
  Stanford University
  Feb 16-22, 2020
• Marcella M Gomez
  University of California Santa Cruz
  Apr 19-25, 2020
• Anna Ma
  University of California Irvine
  Apr 19-25, 2020
• Yvon Maday
  Sorbonne Université
  Jan 29-30, 2020; Feb 16-22, 2020; Mar 23-27, 2020
• Mauro Maggioni
  Johns Hopkins University
  Apr 19-25, 2020
• Michael Mahoney
  University of California, Berkeley
  Apr 19-25, 2020
• Alba Málaga Sabogal
  ICERM
  Sep 1, 2019-Jun 11, 2020
• Reza Malek-Madani
  U.S. Naval Academy
  Apr 20-24, 2020
• Krithika Manohar
  California Institute of Technology
  Apr 19-25, 2020
• Michael Patrick Martin
  Johns Hopkins University
  Mar 22-28, 2020
• Youssef Marzouk
  Massachusetts Institute of Technology
  Jan 27-May 1, 2020
• Romit Maulik
  Argonne National Laboratory
  Feb 17-21, 2020; Mar 23-27, 2020
• F. Patricia Medina
  Yeshiva University
  Apr 20-24, 2020
• Volker Mehrmann
  TU Berlin
  Feb 16-22, 2020
• Petar Mlinarić
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 4-Mar 18, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Peter Monk
  University of Delaware
  Jan 27-Mar 14, 2020; Mar 23-27, 2020
• Ryleigh Moore
  University of Utah
  Mar 22-28, 2020; Apr 19-25, 2020
• Shari Moskow
  Drexel University
  Apr 20-24, 2020
• Lin Mu
  University of Georgia
  Mar 22-28, 2020
• Olga Mula
  Paris Dauphine University
  Feb 16-22, 2020
• Akil Narayan
  University of Utah
  Jan 26-Mar 29, 2020; Apr 20-24, 2020
• Carmeliza Navasca
  University of Alabama at Birmingham
  Jan 26-May 1, 2020
• Indranil Nayak
  The Ohio State University
  Feb 16-22, 2020
• Nicole Nellesen
  RWTH Aachen University
  Mar 22-28, 2020; Apr 20-24, 2020
• Ron Ofir
  Technion - Israel Institute of Technology
  Feb 17-21, 2020
• Kayode Olumoyin
  Middle Tennessee State University
  Apr 20-24, 2020
• Melkior Ornik
  University of Illinois at Urbana-Champaign
  Apr 19-24, 2020
• Karl Otness
  New York University
  Feb 16-22, 2020
• Emmanuel de-Graft Johnson Owusu-Ansah
  Kwame Nkrumah University of Science and Technology
  Mar 23-27, 2020
• Cecilia Pagliantini
  EPFL, Ecole Polytechnique Federale de Lausanne
  Feb 16-21, 2020
• Davide Palitta
  Max Planck Institute for Dynamics of Complex Technical Systems
  Jan 12-Mar 27, 2020
• Juming Pan
  Rowan University
  Apr 19-25, 2020
• Anthony Patera
  MIT
  Feb 16-22, 2020
• Benjamin Peherstorfer
  Courant Institute, New York University
  Jan 30-31, 2020; Feb 16-21, 2020; Mar 2-6, 2020; Apr 19-24, 2020
• Zhichao Peng
  Rensselaer Polytechnic Institute
  Jan 26-May 2, 2020
• Paris Perdikaris
  University of Pennsylvania
  Apr 19-25, 2020
• Rebecca Pereira
  University of Massachusetts Dartmouth
  Mar 22-28, 2020
• Vasilije Perovic
  University of Rhode Island
  Feb 17-21, 2020
• Armenak Petrosyan
  Oak Ridge National Laboratory
  Feb 16-22, 2020
• Blake Pollard
  National Institute of Standards and Technology
  Feb 17-21, 2020
• Sara Pollock
  University of Florida
  Mar 22-28, 2020
• Igor Pontes Duff
  Max Planck Institute for Dynamics of Complex Technical Systems
  Feb 16-22, 2020
• Thomas Prescott
  University of Oxford
  Feb 16-22, 2020
• Elizabeth Qian
  MIT
  Jan 27-May 1, 2020
• Jingmei Qiu
  University of Delaware
  Mar 23-25, 2020
• Annalisa Quaini
  University of Houston
  Mar 22-28, 2020
• Jeffrey Regier
  University of California, Berkeley
  Apr 19-25, 2020
• Kui Ren
  Columbia University
  Feb 26-28, 2020
• Rosemary Renaut
  Arizona State University
  Mar 22-28, 2020; Apr 19-25, 2020
• Viktor Reshniak
  Oak Ridge National Laboratory
  Feb 16-22, 2020; Mar 22-28, 2020; Apr 19-25, 2020
• Donsub Rim
  New York University
  Feb 16-22, 2020
• Abel Rodriguez
  University of California, Santa Cruz
  Apr 19-25, 2020
• Steven Rodriguez
  U.S. Naval Research Laboratory
  Feb 16-22, 2020
• Gianluigi Rozza
  SISSA – International School for Advanced Studies
  Feb 16-22, 2020; Mar 22-28, 2020
• Jennifer Ryan
  Colorado School of Mines
  Mar 23-27, 2020
• Quratulan Sabir
  National College of business administration and economics
  Apr 20-24, 2020
• Arvind Saibaba
  North Carolina State University
  Mar 22-28, 2020
• Themistoklis Sapsis
  MIT
  Apr 19-25, 2020
• Neeraj Sarna
  Max Planck Institute-Magdeburg
  Feb 1-Mar 16, 2020
• Robert Scheichl
  University of Heidelberg
  Apr 19-25, 2020
• Michael Schneier
  University of Pittsburgh
  Jan 13-Apr 17, 2020; Apr 20-24, 2020
• Christoph Schwab
  ETH Zürich
  Mar 23-27, 2020
• Babak Shahbaba
  University of California - Irvine
  Apr 19-25, 2020
• Yeonjong Shin
  Brown University
  Apr 20-24, 2020
• Kathrin Smetana
  University of Twente
  Mar 22-28, 2020
• Devin Smith
  Rensselaer Polytechnic Institute
  Jan 26-Mar 20, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Sarah Soleiman
  Université Paris 1 Panthéon Sorbonne
  Apr 19-25, 2020
• Susanna Spektor
  Sheridan college institute of technology
  Apr 20-24, 2020
• Georg Stadler
  CIMS NYU
  Apr 19-25, 2020
• Benjamin Stamm
  RWTH Aachen University
  Feb 16-28, 2020; Mar 23-Apr 3, 2020
• Shannon Starr
  University of Alabama at Birmingham
  Jan 27-May 1, 2020
• Jemima Tabeart
  University of Edinburgh
  Jan 13-May 1, 2020
• Sui Tang
  Johns Hopkins University
  Apr 20-24, 2020
• Qi Tao
  USTC
  Jan 27-May 1, 2020
• Daniel Tartakovsky
  Stanford University
  Feb 16-22, 2020
• Manuel Tiglio
  Universidad Nacional de Córdoba
  Mar 23-27, 2020
• Zoran Tomljanovic
  University of Osijek
  Feb 16-22, 2020
• Shanyin Tong
  New York University
  Apr 19-25, 2020
• THOMAS Torku
  Middle Tennessee State University
  Apr 20-24, 2020
• Shashanka Ubaru
  IBM T.J. Watson Research Center
  Mar 22-28, 2020
• Wayne Isaac Uy
  Courant Institute of Mathematical Sciences, NYU
  Apr 20-24, 2020
• Daniele Venturi
  University of California, Santa Cruz
  Jan 25-Mar 27, 2020; Apr 20-24, 2020
• Karen Veroy-Grepl
  TU Eindhoven
  Feb 16-22, 2020; Apr 19-25, 2020
• Pedro Vilanova Guerra
  NJIT
  Feb 17-21, 2020; Mar 23-27, 2020
• Aaron Villanueva
  National University of Cordoba
  Mar 23-27, 2020
• Soledad Villar
  NYU
  Apr 20-24, 2020
• Zhu Wang
  University of South Carolina
  Jan 26-Mar 16, 2020; Mar 23-27, 2020; Apr 20-24, 2020
• Yating Wang
  Purdue University
  Mar 22-28, 2020
• Min Wang
  Duke University
  Jan 15-May 3, 2020
• Ting Wang
  US Army Research Laboratory
  Feb 16-22, 2020
• Xiaoyu Wang
  Florida State University
  Apr 19-25, 2020
• Rachel Ward
  University of Texas at Austin
  Apr 20-24, 2020
• Jonathan Weare
  Courant Institute, New York University
  Apr 19-25, 2020
• Karen Willcox
  UT Austin
  Feb 16-22, 2020
• Xiaojie Wu
  University of California, Berkeley
  Feb 16-22, 2020
• Jinlong Wu
  California Institute of Technology
  Apr 20-24, 2020
• Qing Xia
  Rensselaer Polytechnic Institute
  Feb 16-22, 2020
• Yulong Xing
  The Ohio State University
  Mar 22-28, 2020
• Yiming Xu
  University of Utah
  Apr 19-25, 2020
• Yang Yang
  Michigan Technological University
  Feb 16-22, 2020; Mar 23-27, 2020; Apr 19-25, 2020
• Masayuki Yano
  University of Toronto
  Mar 22-28, 2020
• uzma yasmeen
  Comstas Islamabad Lahore campus
  Apr 19-25, 2020
• Felix Ye
  Johns Hopkins University
  Feb 16-22, 2020
• Mikhail Zaslavskiy
  Schlumberger
  Jan 27-Mar 13, 2020; Apr 20-24, 2020
• yangwen zhang
  University of Delaware
  Jan 27-Mar 19, 2020; Mar 23-27, 2020
• Xu Zhang
  Oklahoma State University
  Feb 16-22, 2020
• Jia Zhao
  Utah State University
  Feb 16-22, 2020; Apr 19-25, 2020
• Ming Zhong
  Johns Hopkins University
  Feb 16-22, 2020; Mar 22-28, 2020
• Cong Zhou
  Indiana University
  Apr 19-25, 2020
• Shouhao Zhou
  Penn State College of Medicine
  Apr 19-25, 2020
• Xueyu Zhu
  University of Iowa
  Feb 16-22, 2020; Apr 19-25, 2020
• Lingjiong Zhu
  Florida State University
  Apr 19-25, 2020
• Jorn Zimmerling
  University of Michigan
  Feb 16-22, 2020; Apr 20-24, 2020

Visit dates listed on the participant list may be tentative and subject to change without notice.

• Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang, Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs, Journal of Scientific Computing 95 (2023) no. 2, 54.
• Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan, Quadrature Sampling of Parametric Models with Bi-fidelity Boosting, arXiv preprint arXiv:2209.05705 (2022).
• Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization, Computer Methods in Applied Mechanics and Engineering 400 (2022), 115495.
• Michael Penwarden, Shandian Zhe, Akil Narayan, Robert M Kirby, Multifidelity modeling for physics-informed neural networks (PINNs), Journal of Computational Physics 451 (2022), 110844.
• Jarom D Hogue, Robert M Kirby, Akil Narayan, Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures, arXiv preprint arXiv:2204.04273 (2022).
• Daniele Venturi, Alec Dektor, Spectral methods for nonlinear functionals and functional differential equations, Research in the Mathematical Sciences 8 (2021) no. 2, 27.
• Misha E Kilmer, Arvind K Saibaba, Structured Matrix Approximations via Tensor Decompositions, arXiv preprint arXiv:2105.01170 (2021).
• Peter Benner, Serkan Gugercin, Steffen WR Werner, Structure-preserving interpolation of bilinear control systems, Advances in Computational Mathematics 47 (2021) no. 3, 1--38.
• Sofia Davydycheva, Vladimir Druskin, Leonid Knizhnerman, Michael Rabinovich, Quality control of ultra-deep resistivity imaging using fast 3D electromagnetic modeling, SEG Technical Program Expanded Abstracts 2020, Society of Exploration Geophysicists, 2020, pp. 380--384.
• Elizabeth Qian, Jemima M Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R Kramer, Akil Narayan, Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference, Journal of Scientific Computing 91 (2022) no. 1, 1--30.
• Yanlai Chen, Lijie Ji, Akil Narayan, Zhenli Xu, L1-based reduced over collocation and hyper reduction for steady state and time-dependent nonlinear equations, Journal of Scientific Computing 87 (2021) no. 1, 1--21.
• Huy Dinh, Harbir Antil, Yanlai Chen, Elena Cherkaev, Akil Narayan, Model reduction for fractional elliptic problems using Kato's formula, arXiv preprint arXiv:1904.09332 (2019).
• Julian Henning, Davide Palitta, Valeria Simoncini, Karsten Urban, Very Weak Space-Time Variational Formulation for the Wave Equation: Analysis and Efficient Numerical Solution, arXiv preprint arXiv:2107.12119 (2021).
• Kui Ren, Yimin Zhong, Unique determination of absorption coefficients in a semilinear transport equation, SIAM Journal on Mathematical Analysis 53 (2021) no. 5, 5158--5184.
• Fatoumata Sanogo, Carmeliza Navasca, Stefan Kindermann, Tensor Deblurring and Denoising Using Total Variation, arXiv preprint arXiv:2111.03965 (2021).
• Brian B Avants, Nicholas J Tustison, James R Stone, Similarity-driven multi-view embeddings from high-dimensional biomedical data, Nature computational science 1 (2021) no. 2, 143--152.
• Nicholas J Tustison, Philip A Cook, Andrew J Holbrook, Hans J Johnson, John Muschelli, Gabriel A Devenyi, Jeffrey T Duda, Sandhitsu R Das, Nicholas C Cullen, Daniel L Gillen, others, The ANTsX ecosystem for quantitative biological and medical imaging, Scientific reports 11 (2021) no. 1, 1--13.
• Peter Benner, Serkan Gugercin, Steffen WR Werner, Structure-preserving interpolation for model reduction of parametric bilinear systems, Automatica 132 (2021), 109799.
• Ion Victor Gosea, Serkan Gugercin, The AAA framework for modeling linear dynamical systems with quadratic output, arXiv preprint arXiv:2005.10316 (2020).
• Andrea Carracedo Rodriguez, Serkan Gugercin, The p-AAA algorithm for data driven modeling of parametric dynamical systems, arXiv preprint arXiv:2003.06536 (2020).
• Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Multilevel designed quadrature for partial differential equations with random inputs, SIAM Journal on Scientific Computing 43 (2021) no. 2, A1412--A1440.
• Dihan Dai, Yekaterina Epshteyn, Akil Narayan, Non-Dissipative and Structure-Preserving Emulators via Spherical Optimization, arXiv preprint arXiv:2108.12053 (2021).
• Akil Narayan, Liang Yan, Tao Zhou, Optimal design for kernel interpolation: Applications to uncertainty quantification, Journal of Computational Physics 430 (2021), 110094.
• Yiming Xu, Akil Narayan, Randomized weakly admissible meshes, 2021.
• Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, Robust topology optimization with low rank approximation using artificial neural networks, Computational Mechanics 68 (2021) no. 6, 1297--1323.
• Roland Pulch, Akil Narayan, Tatjana Stykel, Sensitivity analysis of random linear differential--algebraic equations using system norms, Journal of Computational and Applied Mathematics 397 (2021), 113666.
• Ling Guo, Akil Narayan, Yongle Liu, Tao Zhou, Sparse approximation of data-driven Polynomial Chaos expansions: an induced sampling approach, arXiv preprint arXiv:2008.10121 (2020).
• Mani Razi, Robert Mike Kirby, Akil Narayan, Kernel optimization for low-rank multifidelity algorithms, International Journal for Uncertainty Quantification 11 (2021) no. 1.
• Nihar Sawant, Boris Kramer, Benjamin Peherstorfer, Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference, arXiv preprint arXiv:2107.02597 (2021).
• Brian B Avants, Nicholas J Tustison, James R Stone, Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data, arXiv preprint arXiv:2006.06545 (2020).
• Gang Chen, Peter B Monk, Yangwen Zhang, L\^∞ Norm Error Estimates for HDG Methods Applied to the Poisson Equation with an Application to the Dirichlet Boundary Control Problem, SIAM Journal on Numerical Analysis 59 (2021) no. 2, 720--745.
• Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky, Lippmann--Schwinger--Lanczos algorithm for inverse scattering problems, Inverse Problems 37 (2021) no. 7, 075003.
• Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca, Low-CP-rank tensor completion via practical regularization, Journal of Scientific Computing 91 (2022) no. 1, 1--20.
• Kelly M Diamond, Brian B Avants, A Murat Maga, Machine learning-based segmentation and landmarking of 2D fish images, INTEGRATIVE AND COMPARATIVE BIOLOGY, vol. 61, OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA, 2021, pp. E1100--E1101.
• Davide Palitta, Matrix equation techniques for certain evolutionary partial differential equations, Journal of Scientific Computing 87 (2021) no. 3, 1--36.
• Sergiy Borodachov, Min-Max Polarization for Certain Classes of Sharp Configurations on the Sphere, arXiv preprint arXiv:2203.13756 (2022).
• Vladimir Druskin, Stefan G{\"u}ttel, Leonid Knizhnerman, Model order reduction of layered waveguides via rational Krylov fitting, BIT Numerical Mathematics (2022), 1--22.
• Christian Himpe, Sara Grundel, Peter Benner, Model order reduction for gas and energy networks, Journal of Mathematics in Industry 11 (2021) no. 1, 1--46.
• Lihong Feng, Peter Benner, On error estimation for reduced-order modeling of linear non-parametric and parametric systems, ESAIM: Mathematical Modelling and Numerical Analysis 55 (2021) no. 2, 561--594.
• Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky, On extension of the data driven ROM inverse scattering framework to partially nonreciprocal arrays, arXiv preprint arXiv:2112.09634 (2021).
• Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff, Operator inference and physics-informed learning of low-dimensional models for incompressible flows, arXiv preprint arXiv:2010.06701 (2020).
• Petar Mlinari{\'c}, Stephan Rave, Jens Saak, Parametric model order reduction using pyMOR, Model Reduction of Complex Dynamical Systems, Springer, 2021, pp. 357--367.
• Jacob Y Hesterman, Elliot Greenblatt, Andrew Novicki, Ali Ghayoor, Tyler Wellman, Brian Avants, Practical applications of machine learning in imaging trials, Visualizing and Quantifying Drug Distribution in Tissue V, vol. 11624, International Society for Optics and Photonics, 2021, pp. 116240I.
• Yiming Xu, Akil Narayan, Hoang Tran, Clayton G Webster, Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing, Applied and Computational Harmonic Analysis 55 (2021), 486--511.
• Zhichao Peng, Min Wang, Fengyan Li, A learning-based projection method for model order reduction of transport problems, arXiv preprint arXiv:2105.14633 (2021).
• Ryleigh A Moore, Akil Narayan, Adaptive Density Tracking by Quadrature for Stochastic Differential Equations, arXiv preprint arXiv:2105.08148 (2021).
• Yiming Xu, Vahid Keshavarzzadeh, Robert M Kirby, Akil Narayan, A bandit-learning approach to multifidelity approximation, SIAM Journal on Scientific Computing 44 (2022) no. 1, A150--A175.
• Yiming Xu, Akil Narayan, Budget-limited distribution learning in multifidelity problems, arXiv preprint arXiv:2105.04599 (2021).
• Dihan Dai, Yekaterina Epshteyn, Akil Narayan, Hyperbolicity-preserving and well-balanced stochastic Galerkin method for two-dimensional shallow water equations, Journal of Computational Physics 452 (2022), 110901.
• Davide Palitta, Sanda Lefteriu, An efficient, memory-saving approach for the Loewner framework, Journal of Scientific Computing 91 (2022) no. 2, 1--25.
• Wayne Isaac Tan Uy, Yuepeng Wang, Yuxiao Wen, Benjamin Peherstorfer, Active operator inference for learning low-dimensional dynamical-system models from noisy data, arXiv preprint arXiv:2107.09256 (2021).
• Sridhar Chellappa, Lihong Feng, Peter Benner, A training set subsampling strategy for the reduced basis method, Journal of Scientific Computing 89 (2021) no. 3, 1--34.
• Liliana Borcea, Vladimir Druskin, J{\"o}rn Zimmerling, A reduced order model approach to inverse scattering in lossy layered media, Journal of Scientific Computing 89 (2021) no. 1, 1--36.
• Peter Benner, Heike Fassbender, Philip Saltenberger, A rational Even-IRA algorithm for the solution of T-even polynomial eigenvalue problems, SIAM Journal on Matrix Analysis and Applications 42 (2021) no. 3, 1172--1198.
• Peter Benner, Sara Grundel, Petar Mlinari{\'c}, Clustering-Based Model Order Reduction for Nonlinear Network Systems, Model Reduction of Complex Dynamical Systems, Springer, 2021, pp. 75--96.
• Neeraj Sarna, Peter Benner, Data-Driven model order reduction for problems with parameter-dependent jump-discontinuities, Computer Methods in Applied Mechanics and Engineering 387 (2021), 114168.
• Neeraj Sarna, Jan Giesselmann, Peter Benner, Data-driven snapshot calibration via monotonic feature matching, arXiv preprint arXiv:2009.08414 (2020).
• Zhuo-Heng He, Carmeliza Navasca, Xiang-Xiang Wang, Decomposition for a Quaternion Tensor Triplet with Applications, Advances in Applied Clifford Algebras 32 (2022) no. 1, 1--19.
• Brian Avants, Elliot Greenblatt, Jacob Hesterman, Nicholas Tustison, Deep Volumetric Feature Encoding for Biomedical Images, International Workshop on Biomedical Image Registration, Springer, 2020, pp. 91--100.
• Vladimir Druskin, Alexander V Mamonov, Mikhail Zaslavsky, Distance preserving model order reduction of graph-Laplacians and cluster analysis, Journal of Scientific Computing 90 (2022) no. 1, 1--30.
• James R Stone, Brian B Avants, Nicholas J Tustison, Eric M Wassermann, Jessica Gill, Elena Polejaeva, Kristine C Dell, Walter Carr, Angela M Yarnell, Matthew L LoPresti, others, Functional and structural neuroimaging correlates of repetitive low-level blast exposure in career breachers, Journal of neurotrauma 37 (2020) no. 23, 2468--2481.
• Ion Victor Gosea, Serkan Gugercin, Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework, Journal of Scientific Computing 91 (2022) no. 1, 1--28.
• Ion Victor Gosea, Serkan Gugercin, Christopher Beattie, Data-driven balancing of linear dynamical systems, SIAM Journal on Scientific Computing 44 (2022) no. 1, A554--A582.
• Lihong Feng, Guosheng Fu, Zhu Wang, A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations, Journal of Scientific Computing 89 (2021) no. 3, 1--16.
• Zhichao Peng, Yanlai Chen, Yingda Cheng, Fengyan Li, A reduced basis method for radiative transfer equation, Journal of Scientific Computing 91 (2022) no. 1, 1--27.